Business Fraud Detection Analyst

Copenhagen
Posted 3 weeks, 2 days ago
Data Science

About the role

Job summary

This role involves investigating and analyzing fraudulent behavior to enhance online trust and protect consumers and businesses. The Business Fraud Detection Analyst will work within a collaborative fraud team to develop detection methods and strategies against misuse on the platform.

Qualifications

  • Over 2 years of experience in investigations and developing detection strategies.
  • Proven ability to identify and analyze fraudulent behavior.
  • Strong analytical skills with project management capabilities.
  • Proactive problem-solving mindset with solid business acumen.
  • Ability to work independently and collaboratively.
  • Skilled in managing multiple tasks with a strategic approach.

Responsibilities

  • Conduct deep investigations into emerging trends of misuse and fraud.
  • Use SQL and tools like Google BigQuery to support investigations and build mitigation rules.
  • Audit and validate existing fraud detection engines to minimize false positives.
  • Design detection prompts and support the development of AI and automation technologies.
  • Collaborate with data science and engineering teams to enhance detection methods.
  • Take ownership of projects related to Business Detection and Operational Excellence.
  • Assist in developing and maintaining policies impacting Business Detection operations.

Skills

  • Proficiency in SQL and data analysis tools.
  • Strong investigative and analytical skills.
  • Excellent communication and collaboration abilities.

Education

  • Relevant degree or equivalent experience in a related field preferred.

Tools

  • SQL, Google BigQuery, Looker, and other data analysis tools.
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